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18 GoKawiil briefs on this topic

Cost of AI Model Tokens Falling Sharply as GPU Efficiency Doubles Every Two Years

An analysis argues that the cost of running machine learning models is dropping by orders of magnitude annually, driven by GPU efficiency gains that double roughly every two years—a pace not seen since early Moore's Law. The piece distinguishes proprietary models like GPT-6 Astra from open-weight models such as GLM-5.3-flash, noting that hosted and locally-run versions improve at different rates, with per-token pricing for frontier models not falling as consistently as costs for smaller models.

Z.AI apologizes after ZCode tool silently uploaded devs' local files without consent

Chinese AI firm Z.ai, maker of the GLM models, faced backlash after developers discovered its ZCode coding assistant was quietly compressing and uploading local project files to Alibaba Cloud storage without permission. One developer found the tool made 564 attempts to exfiltrate a 313MB encrypted archive containing commercial project files, with a smaller 15KB file successfully transmitted before the issue was caught. Z.ai has since apologized, patched the unauthorized uploads, claimed the exfiltrated data was destroyed, and pledged to open-source ZCode for third-party security review.

Z.ai's ZCode desktop app secretly uploads users' full Git history to Alibaba Cloud

A reverse-engineering report by developer ferstar found that ZCode, the coding agent built by Z.ai around its GLM models, silently packages a user's entire workspace—including .git history, LFS caches, reflogs and global configs—encrypts it, and uploads the archive to Aliyun OSS whenever a user is logged in. The researcher captured a 313MB encrypted archive from a 345MB commercial project spanning over 42,000 files, plus 564 logged failed upload attempts during investigation.

Open-weight GLM 5.3-flash raises alarm over unrestricted AI hacking tools

Z.ai's newly released GLM 5.3-flash is an open-weight AI model cheap enough to run on roughly $5,000-$15,000 of hardware, and third parties have already stripped its safety refusals via 'abliteration,' producing versions that comply with requests for hacking and other harmful content. The author frames this as a deadline pressuring security initiatives like Project Glasswing and Daybreak, which use fast frontier AI to find and patch software vulnerabilities before dangerous capabilities become widely accessible.

Benchmark tests 10 model-harness pairs on identical Three.js coding task

A developer ran the same prompt—building a self-contained sci-fi hangar scene with Three.js, including hovering drones, animated lights, and camera paths—across 10 combinations of AI models (including GLM, Luna, SOL, Astra, and Qwen variants) and coding harnesses like Codex, OMP, OpenCode, and DSH. The test tracked metrics such as completion time, token usage, tool calls, error rates, and whether the model verified its own output by opening the file in a browser and checking screenshots.

Abliteration.ai sells access to guardrail-stripped AI models like GLM-5.3

Startup Abliteration.ai now hosts modified, open-weight AI models—including Z.ai's GLM-5.3—with safety refusals removed, letting users query them via browser or API. TechCrunch tested the free web version and got the model to produce password-stealing code and instructions for culturing a dangerous pathogen. The company, founded late last year and incorporated in March, frames this as a service for red-teaming and offensive security testing.

Startup Mostik lets AI models share intelligence directly via weight values, not text

Russian startup Mostik has developed a method allowing AI models to exchange information through their internal weight values rather than generated text, effectively letting a smaller model absorb capabilities from a larger one. The team demonstrated this by linking a 753-billion-parameter GLM-5.2 model with a 4-billion-parameter Qwen-3.5 model, producing a hybrid system that runs at one-twentieth the cost of the full-size model while performing roughly midway between the two in capability. Mostik also used a related technique to build a model that has topped the ARC-AGI 3 benchmark, though details remain undisclosed while the contest is ongoing.

Z.ai releases GLM-5.3 with open model weights

Z.ai has published GLM-5.3 as an open-weight model, making its parameters publicly available for developers to download and run. Unsloth is preparing GGUF quantized versions of the model to allow it to run efficiently on local hardware.

Z.ai reveals stealth model 'Ox Alpha' was GLM-5.3-Flash, opens weights on Hugging Face

Z.ai has confirmed it built the mysterious 'Ox Alpha' model that surged in popularity on OpenRouter last week, rebranding it as GLM-5.3-Flash. The model, served largely on Chinese-made chips, is open-weight, cheap, and aimed at coding and agentic tasks like browsing and controlling desktop apps, and its weights are now downloadable on Hugging Face. Z.ai's stock jumped following the reveal.

New small AI models like GPT-5.6-Luna slash inference costs for consumer apps

A tech commentator reports extensive hands-on testing of GPT-5.6-Luna, a fast small AI model that processes complex tasks—like scanning thousands of emails—for only tens of cents per query. The author also notes GLM 5.3 as another efficient option now competing at the frontier of cost-versus-capability, arguing that these smaller models have quietly closed much of the gap with premium models like Fable 5.

Z.ai unmasks mystery model Ox Alpha as open-weight GLM-5.3-Flash

An unidentified free model called Ox Alpha appeared on OpenRouter and quickly drew massive usage from developers who couldn't determine its origin, sparking days of speculation about which lab built it. Z.ai revealed the model was actually its own GLM-5.3-Flash, running entirely on Chinese chips, and priced at 15 cents per million input tokens and 50 cents per million output tokens, with a launch discount cutting that in half through September 9.

LM Studio brings Z.ai's GLM-5.3-Flash to Bionic with vision and 1M-token context

LM Studio has integrated Z.ai's newly released GLM-5.3-Flash model into its Bionic agent platform, adding multimodal image input and a 1 million-token context window. The company says the model outperforms its predecessor, GLM-5.2, while costing roughly 9-10 times less to run, and it's served from US-based servers with zero-data-retention enabled by default.